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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
Yann LeCun is a Turing Award recipient and a top AI researcher, but he has long been a contrarian figure in the tech world.
And why we're predicting what's next for the technology in 2026 anyway. This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign ...
Scientists in Belgium—that celebrated bastion of ancient beer culture—are harnessing genetic breakthroughs and machine learning to reimagine how great booze gets built. Here’s how their revelations in ...
As Kansas City positions itself as a data center hub, it begs the question: what are the potential consequences?
This was the question posed to me last summer by an English professor at a top research university, at a backyard barbecue.
Every two weeks throughout 2025, the AI Eye column has rounded up all the important and groundbreaking developments in ...
A collaborative approach to training AI models can yield better results, but it requires finding partners with data that ...
If your calendar is packed with standups, releases, and stakeholder calls, structured learning can feel out of reach. Yet AI ...
Preparing for FINRA or NASAA licensing exams isn’t like cramming for a high-school midterm; it feels more like learning how to speak a new language. Confidence matters, and as Forbes research points ...
Top AI graduate programs at schools like Carnegie Mellon and Stanford are feeding a field where salaries average over $150,000—with job growth outpacing the broader market.
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